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Manager, Data Science

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Simpson Thacher & Bartlett LLP

Manager, Data Science

New York, NY
Full Time
Paid
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  • Responsibilities

    Job Description

    DESCRIPTION/JOB SUMMARY

    The Manager of Data Science is responsible for driving and delivering quantitative legal and operational analysis for the Firm and ensuring insights are translated into accessible and modern visual solutions. The Manager will conduct hands-on analysis, lead technical resources and work with trusted 3rd parties to deliver Firm-specific insights. The Manager will leverage an array of methodologies to draw deep insights from Firm and external data sources, including the use of statistics, machine learning and text analysis.

    The Manager will collaborate extensively with Firm lawyers, colleagues in the Knowledge Management Department, and resources from the Firm's other functional departments (IT, Finance, HR, etc.). This position will require creative problem solving, analytical rigor and an appreciation for the business and practice of law.

    RESPONSIBILITIES/DUTIES

    • Collaborate with the Firm's practice group leaders and knowledge management teams to identify and deliver on opportunities to use data to drive strategic decision making and improve the efficiency and effectiveness of the Firm's client representations
    • Partner with Firm functional departments (e.g., Finance, Talent, Marketing) to analyze data and develop solutions to support operational objectives
    • Use machine learning and data mining techniques to understand the patterns in large volumes of data, identify relationships, detect data anomalies and classify data
    • Develop predictive and classification models using current and emerging data science methodologies
    • Deploy and operationalize predictive models and integrate findings into business processes
    • Conduct natural language processing analysis, including topic modeling, custom named entity recognition and extraction, text classification and entity relationships and disambiguation
    • Help define and deliver the Firm's data visualization and reporting strategy
    • Design and deploy highly visual reports and dashboards that surface quantitative insights in forms that are fit-for-purpose, modern and easily accessible
    • Partner with the Firm's Data Architect to develop end-to-end pipelines for recurring classes of analysis and data-driven solutions
    • Provide input and feedback regarding the Firm's taxonomies, metadata schemas, data collection methods and storage approaches
    • Provide input and perspective on the Firm's strategy for tracking, measuring and reporting on the performance of its legal practices
    • Assist in surfacing and supporting concepts for client-facing data solutions that could be productized, providing the Firm with a competitive edge
    • Handle projects on request under the direction of the CKIO, Director of Data Analytics and other executive staff

    REQUIRED SKILLS

    • 5+ years of overall experience; at least 2 years in a hands-on data analytics role
    • Experience in the legal field is a significant plus
    • Able to translate business problems to technical logic and solutions
    • Able to communicate complex results clearly to a non-technical audience
    • Experience with statistical programming languages such as Python, R or Julia
    • Experience developing and validating linear and non-linear regression and classification models
    • Familiar with natural language processing; with prior work in libraries such as spaCy, Snorkel, NLTK, and CoreNLP a plus
    • Proactively develops and maintains technical knowledge in emerging data science areas
    • Proficient with SQL
    • Experience using enterprise visualization tools, e.g. MS Power BI, Tableau
    • Familiar with best practices in data design and willing to conduct independent research to stay current on emerging trends in visual design and data storytelling
    • Familiarity with experience management systems (e.g. Foundation Software) and enterprise search (e.g. iManage Insight) a plus
    • Project management experience and a strong commitment to successful project delivery
    • Exposure and experience working in an agile product management and software development environment, with Scrum certification a plus

    REQUIRED EDUCATION

    • Bachelor's degree required, preferably in mathematics, statistics, computer science, engineering or finance

    PREFERRED EDUCATION

    • Master's degree in data science, computer science, statistics or engineering highly preferred